Seung-Hi Lee
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom Seung-Hi Lee trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun (in Artificial Intelligence)
Papers from Seung-Hi Lee's perspective
Ordered by how strongly the researchers Seung-Hi Lee trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Learning
- Long Short-Term Memory
- Probabilistic robotics
- Probabilistic trajectory prediction with Gaussian mixture models (IEEE Intelligent Vehicles Symposium)
- A survey on motion prediction and risk assessment for intelligent vehicles
- Probabilistic Analysis of Dynamic Scenes and Collision Risks Assessment to Improve Driving Safety (IEEE Intelligent Transportation Systems Magazine)
- Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Reinforcement Learning: An Introduction
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper